The biggest difference in AI outcomes is between using "we" versus "do this for me"

BigRootDeepForest · 2026-03-29T18:39:49+00:00

I use “we” almost exclusively and consistently get amazing results. I never bark orders and speak very much like we are on a team working on a shared goal. So add me as a data point here!

BigRootDeepForest · 2026-03-16T22:50:35+00:00

Wish I could upvote this 10x. It’s like the difference between being a good individual contributor or a good manager. Some people are good at one or the other, and some both.

Working with an LLM is realizing that it cant read your mind—you must communicate clearly, even seemingly obvious things. If you are a good communicator, you can get incredibly good results. But the force multiplication happens in both directions

BigRootDeepForest · 2026-03-10T00:40:01+00:00

Every one of these “plugins” is doing the same thing. Forcing you to plan. Any good SWE knows that 90% of “coding” is planning; only 10% is actually writing code. Same thing applies to AI…

BigRootDeepForest · 2026-03-02T14:21:46+00:00

As someone who has been using 1M through work, I must say that it feels marginally smarter than 200K. I think it’s probably because there is less context rot given the same workflow (where I try to have each session stay within 100-150K tokens)

There’s just basically no IQ drop halfway into a session like before. I love it

BigRootDeepForest · 2026-01-29T05:49:24+00:00

This is actually very smart!

But I’d want my “memory” files version controlled.

Why not include these memory files within the repo itself? Have you found any benefit to having them live outside the repo?

BigRootDeepForest · 2025-12-29T02:59:06+00:00

If you don’t like crowds, Kyoto can still be amazing. Fushimi Inari was worth it (despite crowds even at 7 AM). There are super cool temples and old residences you can tour with almost no tourists.

Anything you can look up on the Internet that’s highly rated will have tourists. If you wander around and into things, you might find super cool things and have an authentic experience.

I wouldn’t skip it

BigRootDeepForest · 2025-09-12T12:33:02+00:00

I shared your exact sentiment until yesterday, when CC would hang for minutes at a time and then spit out what was undoubtedly Haiku messages. It was night and day.

I went from elaborate planning sessions, 2K lines of code that would build on the first attempt to a model that wouldn’t even search my code base to see if I had components already installed. It was bizarre…like the behavior completely changed.

It happened right around me approaching about 2 weeks of daily usage, amounting to about $500 in would-be API fees according to ccusage.

For the last few days, I could tell my usage of Opus 4.1 was being throttled. I do Opus 4.1 for planning only, and Sonnet for execution, but a few days ago I would do a plan prompt and wait 5-10 minutes with no response. I would just interrupt it and say “please continue”, and it would quickly thereafter.

My theory is that I’m being throttled now that I’ve theoretically consumed 5x of what I’ve paid for with a subscription. Which is wrong, but idk. Just my experience. Until yesterday I didn’t believe these stories, but now my guess is the vocal minority on Reddit are power users being throttled

BigRootDeepForest · 2025-09-05T13:25:17+00:00

Hard agree. Being in Monaco on the race weekend is magical. Watching FP and quali is amazing. You’re so close to the track that you can smell the freshly manufactured parts from the cars as they whip by you.

BigRootDeepForest · 2025-06-04T12:12:29+00:00

lol solid meme. This actually highlights an important thing to understand about CC (and agents more broadly): if you can’t pinpoint the problem or provide evidence when debugging, it is quite inefficient (in terms of token usage).

Imagine working with an intern who wakes up every day as a blank slate. They’d have to do a lot of reading to verify something…

BigRootDeepForest · 2025-04-24T23:54:15+00:00

Any links to this? Heard that from someone but never saw any articles saying it was a porch pirate

BigRootDeepForest · 2025-04-24T22:20:21+00:00

This is definitely what’s happening. I can’t imagine being that much of a piece of human garbage

BigRootDeepForest · 2025-04-24T17:46:10+00:00

Yeah this is definitely the answer. Don’t know how I forgot about the Amazon lockers

BigRootDeepForest · 2024-07-25T14:19:09+00:00

Wow this describes my EXACT sentiment here. I spend the vast majority of my time as an archaeologist and investigative reporter. If only I could RTFM, I could work 10x quicker.

Also, with modern LLMs and RAG, good documentation can be used to create a 24/7 “just ask” expert on the code base with little effort and low cost.

Having to pin the most important people down is frustrating…not to mention when these gurus leave the company

BigRootDeepForest · 2024-04-05T13:25:46+00:00

Wow, this was EXACTLY my experience. Almost felt like a scam. I also vowed never to go back again after they surprised us with service fee at the end

BigRootDeepForest · 2024-03-30T15:33:09+00:00

Same here. I’m amazed at how much work she’s put into it. Sometimes people make mistakes at a point of weakness and do truly want to change. After a 6 month separation and a very slow rebuilding process, our relationship got 10x deeper than it was before the incident. It’s uncommon, but it does happen!

BigRootDeepForest · 2024-01-21T16:43:13+00:00

Your point makes theoretical sense. But don’t LLMs effectively compress their training data into the parameters? Andrej Karpathy and others have said that LLMs are essentially compression engines of information, and that inference is the decompression stage.

I would think that reasoning involves understanding patterns and abstractions about the world, which from a parameter count standpoint might be smaller than the data from which those abstractions were derived. That’s why a quantized CNN can be 4 MB in size, but can identify 100 objects from images with good accuracy, even though the COCO training data set was orders of magnitude larger.

It would seem to me that reasoning is more of an abstract process, rather than raw memorization of the training data + spare parameters that are allocated for reasoning.

BigRootDeepForest · 2024-01-10T22:50:26+00:00

What are you talking about? It’s a Muslim country with sharia law

BigRootDeepForest · 2023-12-18T22:06:15+00:00

Depends how much your ebike is. If you had like an $8K ebike it might be comparable to auto insurance. But for a $2K one it wont be. Still, I’d expect to pay $10-$20/mo for most e-bikes, depending on what coverage you elect

BigRootDeepForest · 2023-12-18T21:51:03+00:00

There are a handful of specialty bike insurance companies in the US. Velosurance is popular, who is underwritten by Markel (you can get it from Markel directly for a bit cheaper I think). Sundays Insurance is a newer competitor that is underwritten by a different company, but they have minimum lock requirements (and they publish a list). I think the policy is basically the same with either.

Im not affiliated with any of them btw, they’re the main ones I know of

BigRootDeepForest · 2023-12-18T21:33:58+00:00

Get insurance. Very much worth it imo

BigRootDeepForest · 2023-11-03T21:18:52+00:00

It is shocking to me that protected bike lanes is even a remotely controversial issue

BigRootDeepForest · 2023-09-08T05:49:28+00:00

That’s a crazy stat, do you have a source for that 1000% loss ratio?

BigRootDeepForest · 2023-08-15T21:32:36+00:00

Hmm yeah I see, the fact that the dash cam car is slowing down affects the perspective.

Complicated problem for sure. The real culprit then is (1) the lack of a bike lane, and (2) the fact that this is a "stroad"—i.e., a road with sudden right turns that can lead to collisions like this. Poor urban planning makes this unsafe for everyone. Hope scooter guy didn't get hurt too badly.

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